Introduction to Statistics in R (Short Course)

Course overview

R is a very popular, freely available, open source system for statistical computation. It provides access to an extensive range of tools for data manipulation, statistical analysis and the production of publication-quality graphics. The R scripting language has become widely used in the fields of ecology and conservation science for communicating and sharing analytical methods between researchers. Many advanced statistical methods including cutting edge spatial analyses are available to R users through free extension packages. More information about this system can be found online.

This course aims to help new users of R to quickly move up the steep learning gradient of using R and reach the stage where their productivity will be significantly enhanced through its use. During the course you look at practical examples that demonstrate how the knowledge of R will increase analytical productivity compared with using more traditional approaches of spreadsheets and GUI based statistical packages.

You will receive an R package containing the data and code used in the course, together with extensive course notes. The examples can be easily adapted to run on other data sets. We would also encourage you to bring your own data, so you can practice applying methods to novel data sets at the end of the course. There is also the option of bringing your own laptops, which will allow you to install the software during the sessions.

By completing this course you will become familiar and competent in using R for basic statistical analysis and graphics.

We will also be able to provide you with a series of further exercises that can be worked on after the course, so that your learning experience can be further enhanced.